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Project: Through this research project, you will investigate and optimize drug-induced liver injury (DILI) analysis methods to address poor data quality issues. Training activities will include collating
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. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE
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: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency
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Research Topics: Please visit the ORISE ODNI Research Participation Program website to review the 2026 IC Postdoctoral Program Research Topics. When completing your application, there will be designated
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the guidance of a mentor, this opportunity will involve: developing and applying methods in computational biology and artificial intelligence to gather information about gene function in the legume family; using
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-ARS Ornamental Research Program in Miami, FL. The fellow will participate in a team effort to maintain and characterize Ornamental Genetic Resources (OGRs) by discovering molecular resources using
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Island. This learning opportunity will include synthesizing information on various mitigation methods (e.g., shaded fuel breaks, fuel reduction treatments, post-fire restoration), developing cost scenarios
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: You will have the opportunity to contribute to collaborative research between the Methods
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, California, conducts research to enhance food safety and biosecurity by developing new methods for analysis of toxins and bacteria in foods, and safe and effective compounds and management strategies targeting
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, or unsupervised learning methods. Proficiency in Python and familiarity with scientific computing libraries such as PyTorch, TensorFlow, Pandas, NumPy, and related ML frameworks. Experience with large datasets